3 citations · 4 across the 5 of their papers we have counts for
8 papers
Parameterisation of Reasoning on Temporal Markov Logic Networks
Victor David, Raphaël Fournier-S'niehotta, Nicolas Travers
We aim at improving reasoning on inconsistent and uncertain data. We focus on knowledge-graph data, extended with time intervals to specify their validity, as regularly found in hi…
Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree
Chen Dang, Hicham Randrianarivo, Raphaël Fournier-S'Niehotta +1
Web Image Context Extraction (WICE) consists in obtaining the textual information describing an image using the content of the surrounding webpage. A common preprocessing step befo…
PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation
Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'Niehotta
We present PKSpell: a data-driven approach for the joint estimation of pitch spelling and key signatures from MIDI files. Both elements are fundamental for the production of a full…
Testing the Impact of Semantics and Structure on Recommendation Accuracy and Diversity
Pedro Ramaciotti Morales, Lionel Tabourier, Raphaël Fournier-S'niehotta
The Heterogeneous Information Network (HIN) formalism is very flexible and enables complex recommendations models. We evaluate the effect of different parts of a HIN on the accurac…
Measuring Diversity in Heterogeneous Information Networks
Pedro Ramaciotti Morales, Robin Lamarche-Perrin, Raphael Fournier-S'niehotta +3
Diversity is a concept relevant to numerous domains of research varying from ecology, to information theory, and to economics, to cite a few. It is a notion that is steadily gainin…
Movie rating prediction using content-based and link stream features
Tiphaine Viard, Raphaël Fournier-S'niehotta
While graph-based collaborative filtering recommender systems have been introduced several years ago, there are still several shortcomings to deal with, the temporal information be…